Common Design Smells and Anti-Patterns

Design smells and anti-patterns are indicators of potential design flaws in software systems. They help identify areas where the design could be improved to enhance readability, maintainability, and overall system quality. Here are some common design smells and anti-patterns:

Design Smell/Anti-Pattern

Description

God Class

A class that handles too many responsibilities, violating the Single Responsibility Principle and leading to high complexity.

Spaghetti Code

Unstructured and tangled code that is difficult to understand and maintain, often resulting from poor design and lack of organization.

Feature Envy

A method that excessively accesses data from another class, indicating a potential design flaw in the distribution of responsibilities.

Circular Dependency

Modules that depend on each other in a circular manner, making the system difficult to understand, test, and maintain.

Singleton Abuse

Excessive use of the singleton pattern, leading to tight coupling, reduced testability, and difficulty in managing dependencies.

Shotgun Surgery

A situation where a single change requires modifications to multiple classes or modules, indicating poor encapsulation and high coupling.

Lazy Class

A class that doesn’t have enough responsibility or functionality to justify its existence, leading to unnecessary complexity and overhead.

Primitive Obsession

Overuse of primitive data types instead of creating domain-specific classes, resulting in reduced clarity, maintainability, and extensibility.

Design Optimization in OOAD

Object-Oriented Analysis and Design (OOAD) is a crucial phase in software development where the system requirements are analyzed and translated into a well-designed object-oriented model. Design optimization in OOAD focuses on improving the quality, performance, maintainability, and scalability of the system design.

Important Topics for Design Optimization in OOAD

  • What is Design Optimization?
  • Goals of Design Optimization
  • Principles of Design Optimization
  • Techniques for Design Optimization
  • Design Metrics and Analysis
  • Common Design Smells and Anti-Patterns
  • Best Practices for Design Optimization
  • Challenges for Design Optimization

Similar Reads

What is Design Optimization?

Design optimization e­nhances software performance­ and quality. It studies existing systems, finds ways to improve­ them, and implements change­s. Design optimization makes software more­ efficient, scalable, and fle­xible. Design optimization aims to create software architectures and components that are robust, adaptable, and aligned with the evolving needs of the system and its users....

Goals of Design Optimization

The goal of design optimization is to enhance software systems, performance, maintainability, and scalability while minimizing resource consumption. Here are some goals for design optimization:...

Principles of Design Optimization

The principles of design optimization emphasize modularity, encapsulation, and low coupling to foster maintainable and scalable software architectures. Here are some principles for design optimization:...

Techniques for Design Optimization

Techniques for design optimization include refactoring, applying design patterns, and performance tuning to enhance software quality and efficiency. Here are some techniques for design optimization:...

Design Metrics and Analysis

Design metrics and analysis involve quantifying and evaluating various aspects of software design to gain insights into its quality, complexity, and performance. Here are some metrices and analysis:...

Common Design Smells and Anti-Patterns

Design smells and anti-patterns are indicators of potential design flaws in software systems. They help identify areas where the design could be improved to enhance readability, maintainability, and overall system quality. Here are some common design smells and anti-patterns:...

Best Practices for Design Optimization

Best Practices for Design Optimization encompass guidelines and strategies aimed at enhancing the quality, maintainability, and performance of software systems through iterative refinement, automated testing, documentation, and continuous improvement....

Challenges for Design Optimization

Navigating the challenges of design optimization involves balancing trade-offs, addressing legacy systems, managing domain complexity, fostering team collaboration, and adapting to technological evolution....

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